CHECKOUT THE PROJECT.
All libraries are available in Anaconda distribution of Python.
The dataset has 14 attributes:
- age: age in years.
- sex: sex (1 = male; 0 = female).
- cp: chest pain type (Value 0: typical angina; Value 1: atypical angina; Value 2: non-anginal pain; Value 3: asymptomatic).
- trestbps: resting blood pressure in mm Hg on admission to the hospital.
- chol: serum cholestoral in mg/dl.
- fbs: fasting blood sugar > 120 mg/dl (1 = true; 0 = false).
- restecg: resting electrocardiographic results (Value 0: normal; Value 1: having ST-T wave abnormality; Value 2: probable or definite left ventricular hypertrophy).
- thalach: maximum heart rate achieved.
- exang: exercise induced angina (1 = yes; 0 = no).
- oldpeak: ST depression induced by exercise relative to rest.
- slope: the slope of the peak exercise ST segment (Value 0: upsloping; Value 1: flat; Value 2: downsloping).
- ca: number of major vessels (0-3) colored by flourosopy.
- thal: thalassemia (3 = normal; 6 = fixed defect; 7 = reversable defect).
- target: heart disease (1 = no, 2 = yes).
data.csv: the dataset file.Heart_Disease_Classification.ipynb: contains the code of data exploration, preparation and modeling.model.pkl: the classification model.heart_disease_app.py: Flask API that bind between the classification model and the web page.- templates:
Heart Disease Classifier.html: a web page that contains a form for heart disease testing.